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Data Warehouse Lifecycle Toolkit

world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998;

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Kimball's Data Warehouse Toolkit Classics

value price. The Data Warehouse Toolkit, 3rd Edition (9781118530801) Ralph Kimball invented a data warehousing technique called;

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Microsoft Data Warehouse Toolkit

studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis;

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Exam Ref 70767 Implementing a SQL Data Warehouse

Prepare for Microsoft Exam 70-767-and help demonstrate your real-world mastery of skills for managing data warehouses. This exam;

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Datawarehouse toolkit

A leading proponent of the dimensional data warehouse, a database model designed to improve managers' ability to quickly analyze large;

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Data Warehouse ETL Toolkit

Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies;

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Data Warehouse Toolkit 3rd

first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered;

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Konzeption und Realisierung eines Data Warehouse

Diese Bachelor-Thesis beschaftigt sich mit der Erstellung eines Data Warehouse mit dem Softwarepaket Microsoft(r) SQL Server 2008 R2 aus;

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McSa SQL 2016 Bi Development Exam Ref 2-Pack: Exam Refs 70-767 and 70-768

Direct from Microsoft, these Exam Refs are the official study guides for the new Microsoft 70-767 Implementing a SQL Data Warehouse and the;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

data mart principles; Microsoft SQL Server data warehousing and OLAP architecture and features; how to design and administer a data warehouse;

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Integration externer Informationen in ein Data Warehouse zur Unterstutzung des Managements

2.1Daten als Basis unternehmerischer Entscheidungen 2.2Produktions- und Wettbewerbsfaktor Information 2.3Management Support Systeme 3.Data;

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Database & Data Warehousing Technologies

Data Warehouse is a type of data organization on which decision-making systems are based. The data storage in a data warehouse system;

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Cloud Analytics with Microsoft Azure

Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features Key Features Updated;

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Building a Data Warehouse

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including;

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Konstruktion semantischer Data-Warehouse-Schemata

Michael Bohnlein analysiert und bewertet Ansatze zur konzeptuellen Modellierung von Data-Warehouse-Systemen und erarbeitet auf dieser;

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Understanding Etl and Data Warehousing

Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information;

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Microsoft Azure Data Solutions - An Introduction

. Drawing on their extensive experience helping organizations get more value from the Microsoft Data Platform, the authors guide you through;

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Building a Data Warehouse

Now available in paperback Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse;

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Data-Warehouse-Systeme fur Dummies

Jede Business-Intelligence-Anwendung beruht letzten Endes auf einem Data Warehouse. Data Warehousing ist deshalb ein sehr wichtiges Gebiet;

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Automated Data Warehouse Testing

of staging area, dimension and fact tables. Automate the testing of CSV and Microsoft Excel data sources.

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Building and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the;

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Building and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the;

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Data Mapping for Data Warehouse Design

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes;

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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals;

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Advanced Data Warehouse Design

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references;

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Modeling the Agile Data Warehouse with Data Vault

Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;

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Einsatz eines Data Warehouse-basierten Informationssystems fur die Unternehmenskonsolidierung

Data Warehouse basierte Informationssysteme. In dieser Arbeit geht es um den Einsatz eines solchen Systems fur die Analyse von;

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